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Items: 1 to 20 of 102

1.

Gowinda: unbiased analysis of gene set enrichment for genome-wide association studies.

Kofler R, Schlötterer C.

Bioinformatics. 2012 Aug 1;28(15):2084-5. doi: 10.1093/bioinformatics/bts315. Epub 2012 May 26.

2.

PoPoolation2: identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq).

Kofler R, Pandey RV, Schlötterer C.

Bioinformatics. 2011 Dec 15;27(24):3435-6. doi: 10.1093/bioinformatics/btr589. Epub 2011 Oct 23.

3.

INRICH: interval-based enrichment analysis for genome-wide association studies.

Lee PH, O'Dushlaine C, Thomas B, Purcell SM.

Bioinformatics. 2012 Jul 1;28(13):1797-9. doi: 10.1093/bioinformatics/bts191. Epub 2012 Apr 17.

4.

PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies.

Yang G, Jiang W, Yang Q, Yu W.

Bioinformatics. 2015 May 1;31(9):1460-2. doi: 10.1093/bioinformatics/btu840. Epub 2014 Dec 21.

PMID:
25535244
5.

DISTMIX: direct imputation of summary statistics for unmeasured SNPs from mixed ethnicity cohorts.

Lee D, Bigdeli TB, Williamson VS, Vladimirov VI, Riley BP, Fanous AH, Bacanu SA.

Bioinformatics. 2015 Oct 1;31(19):3099-104. doi: 10.1093/bioinformatics/btv348. Epub 2015 Jun 9.

7.

Covariate-modulated local false discovery rate for genome-wide association studies.

Zablocki RW, Schork AJ, Levine RA, Andreassen OA, Dale AM, Thompson WK.

Bioinformatics. 2014 Aug 1;30(15):2098-104. doi: 10.1093/bioinformatics/btu145. Epub 2014 Apr 7.

8.

SNP-based pathway enrichment analysis for genome-wide association studies.

Weng L, Macciardi F, Subramanian A, Guffanti G, Potkin SG, Yu Z, Xie X.

BMC Bioinformatics. 2011 Apr 15;12:99. doi: 10.1186/1471-2105-12-99.

9.

Fast and accurate imputation of summary statistics enhances evidence of functional enrichment.

Pasaniuc B, Zaitlen N, Shi H, Bhatia G, Gusev A, Pickrell J, Hirschhorn J, Strachan DP, Patterson N, Price AL.

Bioinformatics. 2014 Oct 15;30(20):2906-14. doi: 10.1093/bioinformatics/btu416. Epub 2014 Jul 1.

10.

Selecting causal genes from genome-wide association studies via functionally coherent subnetworks.

Taşan M, Musso G, Hao T, Vidal M, MacRae CA, Roth FP.

Nat Methods. 2015 Feb;12(2):154-9. doi: 10.1038/nmeth.3215. Epub 2014 Dec 22.

11.

SNPsnap: a Web-based tool for identification and annotation of matched SNPs.

Pers TH, Timshel P, Hirschhorn JN.

Bioinformatics. 2015 Feb 1;31(3):418-20. doi: 10.1093/bioinformatics/btu655. Epub 2014 Oct 13.

12.

RAREMETAL: fast and powerful meta-analysis for rare variants.

Feng S, Liu D, Zhan X, Wing MK, Abecasis GR.

Bioinformatics. 2014 Oct;30(19):2828-9. doi: 10.1093/bioinformatics/btu367. Epub 2014 Jun 3.

13.

SNP2GO: functional analysis of genome-wide association studies.

Szkiba D, Kapun M, von Haeseler A, Gallach M.

Genetics. 2014 May;197(1):285-9. doi: 10.1534/genetics.113.160341. Epub 2014 Feb 21.

14.

Genome-wide association studies.

Yang TH, Kon M, DeLisi C.

Methods Mol Biol. 2013;939:233-51. doi: 10.1007/978-1-62703-107-3_15.

PMID:
23192550
15.

minimac2: faster genotype imputation.

Fuchsberger C, Abecasis GR, Hinds DA.

Bioinformatics. 2015 Mar 1;31(5):782-4. doi: 10.1093/bioinformatics/btu704. Epub 2014 Oct 22.

16.

Comparative analysis of methods for detecting interacting loci.

Chen L, Yu G, Langefeld CD, Miller DJ, Guy RT, Raghuram J, Yuan X, Herrington DM, Wang Y.

BMC Genomics. 2011 Jul 5;12:344. doi: 10.1186/1471-2164-12-344.

17.

RS-SNP: a random-set method for genome-wide association studies.

D'Addabbo A, Palmieri O, Latiano A, Annese V, Mukherjee S, Ancona N.

BMC Genomics. 2011 Mar 30;12:166. doi: 10.1186/1471-2164-12-166.

18.

GSA-SNP: a general approach for gene set analysis of polymorphisms.

Nam D, Kim J, Kim SY, Kim S.

Nucleic Acids Res. 2010 Jul;38(Web Server issue):W749-54. doi: 10.1093/nar/gkq428. Epub 2010 May 25.

19.

Informative Bayesian Model Selection: a method for identifying interactions in genome-wide data.

Aflakparast M, Masoudi-Nejad A, Bozorgmehr JH, Visweswaran S.

Mol Biosyst. 2014 Oct;10(10):2654-62. doi: 10.1039/c4mb00123k.

PMID:
25070634
20.

GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies.

Holden M, Deng S, Wojnowski L, Kulle B.

Bioinformatics. 2008 Dec 1;24(23):2784-5. doi: 10.1093/bioinformatics/btn516. Epub 2008 Oct 14.

PMID:
18854360

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